Why Does My Business Need to Transform Data?
Data transformations are crucial in connecting and making the most of collected data. They help businesses produce data models to answer critical decisions by joining, filtering, and aggregating data. Common use cases include reporting, BI, visualizations, dealing with big data, advanced analytics, machine learning, and artificial intelligence. Some data needs to be transformed regardless of use case, such as global data, removing personal identifying information (PII), and cleaning dirty data. Modern transformation methods are increasingly important in the world of cloud computing and data complexity. A modern ELT approach like Fivetran Transformations ensures that data is modeled for analytics to maximize its impact across businesses.
Company
Fivetran
Date published
July 14, 2021
Author(s)
Dayna Shoemaker
Word count
903
Hacker News points
None found.
Language
English